Обзор

MCPyATS объединяет Model Context Protocol (MCP) и Cisco pyATS для создания интеллектуальных распределенных агентов, способных автоматизировать сетевые задачи с помощью естественного языка.

Он включает в себя несколько интегрированных в инструменты MCP-серверов, сервер агента LangGraph, интерфейс интерфейса Streamlit UI и поддержку связи A2A (Agent-to-Agent).

###Что такое MCP? Протокол Model Context Protocol (MCP) от Anthropic - это протокол, который предлагает USB-C, например, совместимость между MCP-серверами, где используются инструменты, и MCP-клиентами, где работает агент. Это позволяет стандартизировать способ общения между различными агентами и инструментами, что позволяет им работать вместе.

Что такое агент-агент (A2A)? Протокол Agent-to-Agent (A2A) от Google является стандартизированным методом взаимодействия агентов друг с другом. Это позволяет агентам делиться задачами, делегировать обязанности и обмениваться информацией структурированным образом.

##Что такое LangGraph? LangGraph является основой для создания и развертывания агентов ИИ, которые могут рассуждать, планировать и выполнять задачи с использованием естественного языка.

🧠 MCPyATS: AI-Powered Network Automation with MCP + Cisco pyATS

🚀 Overview

MCPyATS brings together the Model Context Protocol (MCP) and Cisco pyATS to build intelligent, distributed agents capable of automating network tasks via natural language.

It includes multiple tool-integrated MCP servers, a LangGraph agent backend, a Streamlit UI frontend, and support for A2A (Agent-to-Agent) communication.

🌐 What is MCP?

The Model Context Protocol (MCP) from Anthropic is a protocol that offers USB-C like interoperability between MCP Servers, where tools are exposed, and MCP Clients, where the agent is running. It allows for a standardized way to communicate between different agents and tools, enabling them to work together seamlessly.

What is Agent-to-Agent (A2A)?

The Agent-to-Agent (A2A) protocol from Google is a standardized method for agents to communicate and collaborate with each other. It allows agents to share tasks, delegate responsibilities, and exchange information in a structured manner.

What is LangGraph?

LangGraph is a framework for building and deploying AI agents that can reason, plan, and execute tasks using natural language. It provides a set of tools and libraries for creating agents that can interact with various services and APIs, making it easier to build complex automation workflows.

What is pyATS?

Cisco pyATS (Python Automated Test Systems) is a framework for automating network testing and validation. It provides a set of tools and libraries for creating and executing tests on network devices, making it easier to validate configurations, performance, and functionality.

What is Streamlit?

Streamlit is an open-source app framework for Machine Learning and Data Science projects. It allows you to create beautiful web applications for your data science projects with minimal effort. You can use Streamlit to build interactive dashboards, visualizations, and user interfaces for your AI agents.

What is MCPyATS?

MCPyATS is a framework that combines the Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, LangGraph, and Cisco pyATS to create intelligent, distributed agents capable of automating network tasks via natural language. It includes multiple tool-integrated MCP servers, a LangGraph agent backend, a Streamlit UI frontend, and support for A2A (Agent-to-Agent) communication.

MCPyATS is designed to be modular and extensible, allowing you to easily add new tools and services as needed. It provides a standardized way to communicate between different agents and tools, enabling them to work together seamlessly.

MCPyATS is built on top of Docker, making it easy to deploy and run in any environment. It includes a set of pre-built Docker images for all the MCP servers and the LangGraph agent, making it easy to get started with minimal setup.

📚 Table of Contents

• Overview
• Repository Structure
• Quick Start